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Explore the Indonesian presidential campaign of 2024 through advanced text classification. This project transforms tweets into insights on national resilience using cutting-edge machine learning models and text preprocessing techniques. Dive into the intersection of politics and data science!
Python script conducts sentiment analysis on Twitter data via GetOldTweets3, omitting NLTK. It preprocesses, analyzes sentiments, and visualizes results with a bar graph.
Real-time data analytics on COVID-19 over a Twitter Stream using Big Data Technologies of Hadoop Ecosystem such as Flume, Kafka and Spark Streaming. Flask is used to display dashboards.
We use the BERT language model for Twitter sentiment analysis leading to the US 2020 presidential elections. We investigate if sentiment analysis can provide an indication of the outcome of the results using canonical LSTM and BERT language model.